Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD
Joint Authors
Hu, Bin
Wang, Deli
Zhang, Ling
Zeng, Zhaofa
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The Lunar Penetrating Radar (LPR) is one of the important scientific payloads in China’s Chang’E-3 (CE-3) to image within 100 m below the lunar surface.
The acquired LPR data is significant for the research of lunar geological structure.
Based on the sedimentary mechanism of lunar regolith, the regolith contains many rocks with different sizes.
These local anomalies appear as diffraction in LPR data, which reduces the data quality and limits the structural analysis of lunar regolith.
According to the kinematics characteristics of rock caused diffraction, we transform these problems to a problem of steep dip decreasing.
To reach this goal, we adopt a data preprocessing workflow to improve the quality of the radar image, firstly.
Then, a dip filter based on adaptive f-x empirical mode decomposition (EMD) is proposed to extract the rocks in the regolith and the corresponding removed IMF map indicates the degree of rock enrichment and highlights regolith-basement interface.
Both simulation and LPR CH-2 data present a great performance.
Finally, according to the processed result, we locate the position of each rock and highlight the contact interface of regolith and the basement rock.
American Psychological Association (APA)
Hu, Bin& Wang, Deli& Zhang, Ling& Zeng, Zhaofa. 2019. Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD. Advances in Astronomy،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1114355
Modern Language Association (MLA)
Hu, Bin…[et al.]. Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD. Advances in Astronomy No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1114355
American Medical Association (AMA)
Hu, Bin& Wang, Deli& Zhang, Ling& Zeng, Zhaofa. Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD. Advances in Astronomy. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1114355
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1114355